Senior Data Engineer

REINTECH LTD; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Pay@ is a leading South African payment aggregator, enabling secure and efficient bill payments across a wide network of payment channels. We process millions of transactions monthly and are building a modern data infrastructure to support financial reporting, fraud detection, AI and operational analytics.

We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that integrate transactional, accounting, and CRM data across multiple

Qualifications

• 8+ years of experience in data engineering or related roles.
• Proven Python-based data engineering project experience.
• Strong SQL and Python data transformation skills.
• Experience with data orchestration tools like Airflow.
• Excellent problem-solving and communication skills.
• Bachelor’s degree in CS, Engineering, or related field.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines ingesting data from multiple systems.
• Integrate data from transactional databases, accounting, and CRM platforms.
• Design and maintain scalable data management systems and warehouses.
• Develop data models, analytics applications, and prototypes.
• Implement data quality checks, monitoring, and performance tuning.
• Collaborate with stakeholders to ensure data accuracy and accessibility.
• Establish and update disaster recovery procedures.
• Document architecture and adhere to version control and deployment best practices.

Skills

Python

SQL

ETL pipelines

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Airflow

Job description

Pay@ is a leading South African payment aggregator, enabling secure and efficient bill payments across a wide network of payment channels. We process millions of transactions monthly and are building a modern data infrastructure to support financial reporting, fraud detection, AI, and operational analytics.

We are seeking a skilled Senior Data Engineer to join our growing team. You will be instrumental in designing, building, and maintaining scalable, robust data pipelines and warehouse solutions that integrate transactional, accounting, and CRM data across multiple systems.

Responsibilities

• Build and maintain robust ETL/ELT pipelines using Python, SQL, and cloud-native tools to ingest and transform data from 40+ payment networks and internal systems
• Join and harmonize data across diverse sources including transactional databases, accounting systems (Sage One, Xero), and CRM platforms (HubSpot, Dataverse)
• Design, construct, install, test, and maintain highly scalable data management systems
• Build high-performance prototypes and proof of concepts
• Implement data quality checks, performance tuning, and monitoring for pipelineshandling tens of millions of rows monthly
• Develop data set processes for data modelling, mining, and production
• Integrate new data management technologies and software engineering tools into existing structures
• Create custom software components (e.g. specialised UDFs) and analytics applications
• Maintain clear documentation and follow best practices for data architecture, version control, and deployment
• Collaborate with data architects, modelers, analysts, and business stakeholders to ensure data accuracy, security, and accessibility
• Research opportunities for data acquisition and new uses for existing data
• Install and update disaster recovery procedures

Requirements

• 8+ years of relevant experience in data engineering or related roles
• Proven experience in Python-based data engineering projects
• Strong proficiency in SQL and Python for data transformation and automation
• Experience with data orchestration tools (e.g. Airflow)
• Excellent problem-solving and communication skills
• Bachelor’s degree in Computer Science, Engineering, or a related field

Nice to Have

• Understanding of dimensional modelling and data warehouse design
• Experience with SQL Server, PostgreSQL, Sage One, Xero, Business Central,HubSpot, or Microsoft Dataverse
• Experience in the payments or financial services industry

Join Us

Work on impactful data projects in a high-volume, real-time transaction environment alongside a forward-thinking team building a modern data stack. If you enjoy solving complex data challenges at scale — we’d love to hear from you.

Spectrum team

Systems Thinking

Orientation

Antifragility

Security Awareness

Reciprocity

Why this spectrum

• Systems Thinking Building the model that solves the problem.
• Orientation Choosing the frame the work is seen from.
• Antifragility Turning failures into structure, not into stories.